Abstract
This paper deals with the finding of a fuzzy rational function that best fits on a given set of input-output patterns of an unknown fuzzy dependency. In order to solve this problem a distributed genetic algorithm based on the island model is presented. Experimental investigations for evaluating the performance of the proposed distributed algorithm are also described.